Jin, X.-B.; Yang, N.-X.; Wang, X.-Y.; Bai, Y.-T.; Su, T.-L.; Kong, J.-L.
Hybrid Deep Learning Predictor for Smart Agriculture Sensing Based on Empirical Mode Decomposition and Gated Recurrent Unit Group Model. Sensors 2020, 20, 1334.
https://doi.org/10.3390/s20051334
AMA Style
Jin X-B, Yang N-X, Wang X-Y, Bai Y-T, Su T-L, Kong J-L.
Hybrid Deep Learning Predictor for Smart Agriculture Sensing Based on Empirical Mode Decomposition and Gated Recurrent Unit Group Model. Sensors. 2020; 20(5):1334.
https://doi.org/10.3390/s20051334
Chicago/Turabian Style
Jin, Xue-Bo, Nian-Xiang Yang, Xiao-Yi Wang, Yu-Ting Bai, Ting-Li Su, and Jian-Lei Kong.
2020. "Hybrid Deep Learning Predictor for Smart Agriculture Sensing Based on Empirical Mode Decomposition and Gated Recurrent Unit Group Model" Sensors 20, no. 5: 1334.
https://doi.org/10.3390/s20051334
APA Style
Jin, X. -B., Yang, N. -X., Wang, X. -Y., Bai, Y. -T., Su, T. -L., & Kong, J. -L.
(2020). Hybrid Deep Learning Predictor for Smart Agriculture Sensing Based on Empirical Mode Decomposition and Gated Recurrent Unit Group Model. Sensors, 20(5), 1334.
https://doi.org/10.3390/s20051334